Business intelligence as we know it today grew out of the need to pull information together from multiple disparate systems as well as retain a historic perspective of how business operations change over time. Many organizations believe that decisions and operational adjustments made today should be influenced by observing trends and patterns from the past. Making the best actionable decisions requires the ability to draw upon information and solutions that make up one’s business intelligence framework.
The first form of business intelligence solutions surfaced as sales information systems, dating back to the seventies. As these systems matured and information from other functions within the organization funneled into them, the term “data warehouse” began surfacing. Consequently, organizations began building applications and solutions that took advantage of this consolidated view of information. As organizations began to evolve these solutions, the noun data warehouse shifted to the verb data warehousing to include both the physical structure and the applications sitting on top. Bundling both technology and business solutions together using such a common expression presented confusion to many business professionals.
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